Criminal Justice Data Analytics
Master's Program

Become an expert in Criminal Justice Data Analytics

Evidence-based decision making that is informed by consideration of data is a key feature of the modern criminal justice system. This program will prepare students to become data analysts who are able to consider the full range of ethical and social implications of these decisions.

This program offers a unique perspective with its focus on ethical considerations of managing and analyzing large data sets to make evidence driven decisions in the field of criminal justice. This program is timely as debates about how, when and whether to utilize predictive models and algorithms for criminal justice decisions have not been resolved. Possessing an understanding of the ethical and social implications of these debates will better prepare Marquette University-trained data analysts to engage these debates and questions while working in the field. 

Additional Program Highlights

An interdisciplinary program incorporating criminology and data science 

The 30-credit interdisciplinary program is designed to utilize Marquette University’s faculty expertise in the Criminology and Law Studies and Data Science programs. This union has resulted in an innovative and pioneering interdisciplinary graduate program that prepares graduates to be successful and impactful as criminal justice data analysts.  

Work with expert faculty in criminology and data science

Students immersed in this program will have consistent interaction with and learn from Criminology and Law Studies and Data Science faculty. Select the disciplines below to learn more about the interdisciplinary faculty behind this exciting new graduate program.  

Learning Outcomes

  • Identify crime analysis opportunities that can be ethically addressed through an understanding of crime, criminal offending, the operations of criminal justice organizations, and the US criminal justice system
  • Design and implement strategies for analyzing crime data using appropriate datasets and analytical methods
  • Analyze crime data to create actionable information, and use it to establish priorities, make decisions and solve problems aligning with the ethics, needs and values of individuals, communities and stakeholders
  • Display and explain the results of criminal justice data analytics projects using effective written, visual, and verbal tools and techniques
  • Use advanced data processing tools incorporating regulatory, data governance, master data management, data profiling, parallel and distributed processing best practices.

Career Opportunities

The Master of Science in Criminal Justice Data Analytics program will inform planning, decision making and problem solving in criminal justice agencies, including police departments, department of corrections, courts and district attorneys’ offices, as well as in nonprofit agencies whose interests revolve around public safety. 

Related news

Director of Data Science Graduate program receives NSF Grant

Congratulations to Shion Guha who recently received an National Science Foundation (NSF) award in the amount of $175,000 for his project on "Estimating the Financial, Social and Ethical Impacts of Algorithmic Crime Analysis".

Visit Marquette's Data Initiative website to learn more. 


Take the next step towards your future

  • Request Information
  • Application Information
  • Criminology and Data Science Faculty

Ready to learn more about Marquette's Master's in Criminal Justice Data Analytics? 

Speak with a Recruiter

Tim Carter

(414) 288-7139

timothy.carter@marquette.edu


Email the Graduate School

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Application Deadline

This program has rolling admissions, which means you may apply any time before the following dates:

  • Fall term admissions- August 1 (June 1 for international applicants and February 15th for financial aid and priority consideration)

Your application must be complete and all required documentation must be received in the Graduate School by the above date.


 

Application Requirements

  • A complete application form and fee online.
  • Copies of all current and previous college/university transcripts except Marquette*
  • A statement of purpose, describing reasons for pursuing an advanced degree and career plans
  • International applicants only: TOEFL score or other acceptable proof of English proficiency.
  • Optional: Applicants can provide up to two letters of recommendation and a resume. 

*Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not in English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student's record.

Work with expert faculty in criminology and data science

Students immersed in this program will have access and consistent interaction with faculty from both criminal law and data science departments. Select the disciplines below to learn more about the interdisciplinary faculty behind this exciting graduate program.  

Criminology and Law Studies Faculty

Dr. Darren Wheelock

Research interests

  • Criminal Punishment and Social Control
  • Racial and Ethnic Inequality
  • Punitive Attitudes
  • Racial Attitudes
  • Prisoner Reentry
  • Collateral Consequences

Teaching interests

  • Introduction to criminology
  • Race, crime, and punishment
  • Prisoner Reentry
  • Collateral Consequences

See Dr. Darren Wheelock's publications and contact information


 

Dr. Aleksandra Snowden

Research interests

  • Crime mapping, crime analysis, GIS
  • Neighborhood characteristics, alcohol availability, crimes, violence, and injury
  • Spatial analytical methods, spatial regression

Teaching interests

  • Introduction to criminology
  • Neighborhoods and crime
  • Crime mapping, crime analysis, GIS

See Dr. Aleksandra Snowden's publications


Dr. Meghan Stroshine

Research interests

  • Policing (use of force, injuries, hazards of police work, decision making and behavior)
  • Domestic Violence (criminal justice system responses)

Teaching interests

  • Policing
  • Domestic Violence
  • Women and Crime

See. Dr. Meghan Stroshine's publications and contact information


Data Science Faculty

Shion Guha

Research interests

  • Algorithmic Biases
  • Social Networks
  • Privacy
  • Computational Social Science
  • HCI for Development

Teaching interests

  • Introduction to Data Science
  • Advanced Data Science
  • Social and Ethical Implications of Data

See Shion Guha's publications and contact information


Satish Puri

Research interests

  • Parallel and Distributed Computing
  • Big Data
  • Cloud Computing
  • HPC

Teaching interests

  • Data Structure and Algorithms
  • Parallel and Distributed Computing

See Satish's Puri publications and contact information


Praveen Madiraju

Research interests

  • Databases: Global Constraint Checking and Querying in Multidatabases, XML
  • Databases, Constraints in XML Databases
  • Mobile Computing: Middlewares for Wireless Personal Communication Devices
  • (iPAQ's), Distributed and Mobile Computing Systems
  • Social Media Analysis: Analyzing Twitter Data, Personal Recommendation Systems

Teaching interests

  • Object-Oriented Software Design
  • Advanced Database Systems
  • Web Technologies

See Praveen Madiraju's publications and contact information